The successful applicant will be working with other research programmers in the Karsan lab to develop data analysis pipelines for various next-generation sequencing (NGS) data such as—but not limited to—scRNA-Seq, targeted sequencing, ATAC-Seq, and BS-Seq

We are seeking an enthusiastic and talented academic bioinformatics post-doctoral researcher to undertake a project exploring whole-genome sequencing of cell-free DNA in cancer patient blood samples.

We are seeking a highly motivated discovery scientist with a Masters or PhD in bioinformatics, molecular biology, mathematics or statistics, experience in bioinformatics, and preferably skills in molecular genetic analyses including next generation sequencing and rare variant calling.

At Bristol Myers Squibb we are inspired by a single vision transforming patients lives through science.In oncology hematology immunology and cardiovascular disease and one of the most diverse and promising pipelines in the industry each of our passionate colleagues contribute to innovations that drive meaningful change.

At Bristol Myers Squibb we are inspired by a single vision transforming patients lives through science.In oncology hematology immunology and cardiovascular disease and one of the most diverse and promising pipelines in the industry each of our passionate colleagues contribute to innovations that drive meaningful change.

At Bristol Myers Squibb we are inspired by a single vision transforming patients lives through science.In oncology hematology immunology and cardiovascular disease and one of the most diverse and promising pipelines in the industry each of our passionate colleagues contribute to innovations that drive meaningful change.

At Bristol Myers Squibb we are inspired by a single vision transforming patients lives through science.In oncology hematology immunology and cardiovascular disease and one of the most diverse and promising pipelines in the industry each of our passionate colleagues contribute to innovations that drive meaningful change.

At Bristol Myers Squibb we are inspired by a single vision transforming patients lives through science.In oncology hematology immunology and cardiovascular disease and one of the most diverse and promising pipelines in the industry each of our passionate colleagues contribute to innovations that drive meaningful change.

What Your Job Will Be Like: We are seeking an Intern - Computational Biology R&D Grad Year Round As a graduate intern in Sandia's Computational Bio & Biophysics Department you will work closely with a team of Sandia researchers on data-model integration work containing large observation datasets of soil vegetation and climate and model datasets from "Coupled Model Intercomparison Project Phase six (CMIP6)".On any given day you may be called on to: harmonize and manage large soil profile and geospatial environmental datasets conduct statistical machine learning and process-based modeling analysis prepare journal manuscripts and give presentations at scientific meetings COVID-19 Vaccination Mandate: Sandia demonstrates its commitment to public safety in the national interest by requiring that all new hires be fully vaccinated or have an approved medical or religious accommodation before commencing employment.

Comput Mass Spec Graduate Scholar YOUR TASKS AND RESPONSIBILITIES The primary responsibilities of this role Computational Mass S pectrometry Graduate Scholar are to: Proactively identify and incorporate tools to integrate computational structural and functional genomics for the discovery biosynthesis and characterization of genetically encoded small molecules from microbial sources; Support the development and application of tools to facilitate the structural elucidation of small molecules utilizing mass spectrometry and genomics; Leverage knowledge of natural product enzymes from validated biosynthetic pathways to predict chemical transformations encoded by gene clusters and match these to chemical products observed in the metabolome; Support the implementation of software to streamline data processing data mining and biomarker identification; Design and implement workflows for pathway analysis to inform discovery and fermentation optimization; Develop improve and deploy informatics pipelines to analyze and compare mass spectrometry-based metabolomics data.WHO YOU ARE Your success will be driven by your demonstration of our LIFE values.

At Bristol Myers Squibb we are inspired by a single vision transforming patients lives through science.In oncology hematology immunology and cardiovascular disease and one of the most diverse and promising pipelines in the industry each of our passionate colleagues contribute to innovations that drive meaningful change.

At Bristol Myers Squibb we are inspired by a single vision transforming patients lives through science.In oncology hematology immunology and cardiovascular disease and one of the most diverse and promising pipelines in the industry each of our passionate colleagues contribute to innovations that drive meaningful change.

The position is anchored within a team of exceptional scientists, computational biologists and programmers, which collaborate directly on improving genome sequencing technology, interpretation and application. By working within the Steif Lab at the GSC, you will develop close relationships with world-renown specialists in bioinformatics and have access to one of the most robust computational and next generation genome sequencing technology facilities in Canada, all while living in one of the most beautiful, diverse and eclectic cities in the world.

Expertise is required in the specific area of computational methodologies including computer vision, machine learning, and neuroimaging, as well as experience in employing such methodologies in the study of mental health conditions is required. Successful candidates will have experience in submitting and receiving extramural funding from federal sources, such as NIH. Applicants must have a Ph.D. degree.

The successful candidate will analyze publicly-available and large-scale human genetic data-sets (genotyping, exome sequencing, whole genome sequencing data) and genomics data to identify genetic factors that may be targeted therapeutically, primarily leveraging our oligonucleotide expression increase and knockdown platform.

The projects involve statistical and computational analyses of in-house as well as publicly available datasets for generating computational predictions and data visualization relevant to the project’s goals. In addition, we are piloting various processes involving public health and research databases, with intention to integrate the discrete data into a meaningful health knowledge.

You will apply your full stack software engineering skills in modern web user interface design and development, microservices, and database technologies to digitize drug discovery processes that bring breakthrough medicines to patients. You will work closely with R&D researchers to align the solutions with the evolving needs of the scientific community while ensuring system usability, robustness, scalability, and maintainability. A good balance of scientific knowledge and solid technical skills will be key to the success of this role.

The candidate should also have experience with multiple modern techniques and algorithms in machine learning and statistical computing such as regression, clustering/segmentation, time-series analysis, recommender systems, predictive analytics, Bayesian modeling, data fusion, supervised/unsupervised learning, decision trees, A/B testing, natural language processing.

Canada’s Michael Smith Genome Sciences Centre (GSC) is a state-of-the-art, large scale, high throughput, clinically accredited genomics and bioinformatics facility. We are currently looking for a Postdoctoral Fellow to join Dr. Adi Steif’s computational biology group.

Job Description The laboratory of Assistant Professor Nathan Harmston at Yale-NUS College is currently recruiting a Research Assistant in Computational Biology to work in the area of omics data integration and analysis.This position will be on a fixed term contract of up to 1.5 years.